LLM Tool Use

LLM: Large Language Model

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30 papers in the last four weeks, up 233% on the four weeks before. 0.3% of all new papers.

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Is Code Better Than Language for Algorithmic Reasoning
Jun 14, 2026Terry Tong, Yu Feng, Surbhi Goel +1LLM Evaluation LLM Tool Use
University of Pennsylvania · 2Oracle AI
ToolMenuBench: Benchmarking Tool-Menu Filtering Strategies for Reliable and Efficient LLM Agents
Jun 13, 2026Rahul Suresh Babu, Laxmipriya Ganesh IyerAI Agent Reliability Tool-Use Evaluation
Independent Researcher United States of America
Risk-Aware LLM Agents for Geospatial Data Retrieval: Design and Preliminary Adversarial Evaluation
Jun 13, 2026Kyle Gao, Joel Cumming, Jonathan Li +2Multi-Agent LLM Systems LLM Tool Use
Dept. of Systems Design Engineering, University of Waterloo, Waterloo, ON, N2L 3G1, Canada · SkyWatch, Kitchener, ON, N2H 2G8, Canada · Dept. of Geography and Environmental Management, University of Waterloo, Waterloo, ON, N2L 3G1, Canada +1
From Chatbot to Digital Colleague: The Paradigm Shift Toward Persistent Autonomous AI
Jun 12, 2026Yongheng Zhang, Ziang Liu, Jiaxuan Zhu +17LLM Tool Use Long-Horizon LLM Agents
Tencent Youtu Lab · Tsinghua University · Sun Yat-sen University +2
HyperTool: Beyond Step-Wise Tool Calls for Tool-Augmented Agents
Jun 11, 2026Yaxin Du, Yifan Zhou, Yujie Ge +7Tool-Augmented Language Model Agents LLM Agent Workflow Optimization
Shanghai Jiao Tong University · IQuest Research · Beijing University of Aeronautics and Astronautics
Evoflux: Inference-Time Evolution of Executable Tool Workflows for Compact Agents
Jun 10, 2026Kushal Raj Bhandari, Ling Yue, Ching-Yun Ko +4Inference-Time Search LLM Agent Workflow Optimization
Rensselaer Polytechnic Institute, Troy, NY 12180 USA · IBM Research, Yorktown Heights, NY 10598 USA
Pushing the Limits of LLM Tool Calling via Experiential Knowledge Integration and Activation
Jun 9, 2026Yupu Hao, Zhuoran Jin, Huanxuan Liao +2Knowledge Augmentation for Language Models Inference-Time Scaling
1The Key Laboratory of Cognition and Decision Intelligence for Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, China · School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China
Less Context, Better Agents: Efficient Context Engineering for Long-Horizon Tool-Using LLM Agents
Jun 8, 2026Abhilasha Lodha, Mahsa Pahlavikhah Varnosfaderani, Abir Chakraborty +1LLM Inference Efficiency Tool-Augmented Language Model Agents
Microsoft
QueryWeaver: Reliable Multi-Tool Query Execution Planning via LLM-Based Graph Generation
Jun 6, 2026Aishwarya Chakravarthy, Vidhi Kulkarni, Duen Horng ChauTool-Augmented Language Model Agents Tool-Use Planning
School of Computational Science and Engineering, Georgia Institute of Technology, Atlanta, GA, USA.
MemToolAgent: Leveraging Memory for Tool Using Agents Based on Environment and User Feedback
Jun 6, 2026Suleyman Armagan Er, Danilo Ribeiro, Yogesh Virkar +5Tool-Using Agents LLM Tool Use
AWS AI · University of Washington
Are Large Language Models Suitable for Graph Computation? Progress and Prospects
Jun 5, 2026Yuting Zhang, Yi Han, Kai Wang +3LLM Reasoning with Graphs LLM Tool Use
University of New South Wales · Antai College of Economics and Management, Shanghai Jiao Tong University · Edith Cowan University +1
Translate-R1: Cost-Aware Translation Tool Use via Reinforcement Learning
Jun 5, 2026Pratik Jayarao, Chaitanya Dwivedi, Himanshu Gupta +5RL for Language Models LLM Tool Use
Amazon Stores Foundation AI
NTILC: Neural Tool Invocation via Learned Compression
Jun 4, 2026Andrew Krikorian, Yayuan Li, Jason J. CorsoLLM Inference Acceleration LLM Tool Use
Department of Robotics University of Michigan Ann Arbor, MI 48104 · Department of ECE University of Michigan Ann Arbor, MI 48104
ToolChoiceConfusion: Causal Minimal Tool Filtering for Reliable LLM Agents
Jun 4, 2026Rahul Suresh Babu, Laxmipriya Ganesh IyerAI Agent Reliability Tool-Use Evaluation
Independent Researcher United States of America
ToolSense: A Diagnostic Framework for Auditing Parametric Tool Knowledge in LLMs
Jun 4, 2026Ashutosh Hathidara, Sai Shruthi Sistla, Sebastian Schreiber +1Tool-Augmented Language Model Agents LLM Auditing
SAP Labs
Design a Reliable LLM-Integrated Interface for Mortality Forecasting
Jun 4, 2026Thi Kim Ngan NguyenLLM Tool Use Mortality Prediction
Curtin University
When Tools Fail: Benchmarking Dynamic Replanning and Anomaly Recovery in LLM Agents
Jun 4, 2026Dongsheng Zhu, Xuchen Ma, Yucheng Shen +5AI Agent Reliability AI Agent Benchmarks
Shanghai AI Laboratory · East China Normal University · Soochow University +2
PyraMathBench: Evaluating and Improving Mathematical Capability in Large Language Models
Jun 2, 2026Zetian Ouyang, Linlin Wang, Gerard de Melo +1Numerical Reasoning in Language Models Mathematical Reasoning Benchmarks
East China Normal University · Hasso Plattner Institute, University of Potsdam
Beyond Ideal Instruction: A Comprehensive Framework for Evaluating LLMs in Realistic Interactions
Jun 2, 2026Xuan Yang, Hao Xu, Tingfeng Hui +4LLM Evaluation Tool-Use Evaluation
Department of Data Science, City University of Hong Kong · 3Li Auto Inc. · 2Hong Kong Institute of AI for Science, City University of Hong Kong +1
AgentPLM: Agentic Protein Language Models with Reasoning-Augmented Decoding for Protein Sequence Design
Jun 1, 2026Sahil Rahman, Maxx Richard RahmanRL for Language Models Direct Preference Optimization
Bedford College, London, United Kingdom · Saarland University, Saarbrücken, Germany
MAVEN: Improving Generalization in Agentic Tool Calling
May 29, 2026Omkar Ghugarkar, Vishvesh Bhat, Muhammad Ahmed Mohsin +1Logical Reasoning LLM Agent Evaluation
CoreThink AI, USA · Stanford University, Stanford, CA, USA
Notation Matters: A Benchmark Study of Token-Optimized Formats in Agentic AI Systems
May 28, 2026Lorenz Kutschka, Bernhard GeigerTool-Augmented Language Model Agents AI Agent Evaluation
Know Center Research GmbH / Sandgasse 34, A-8010 Graz · Signal Processing and Speech Communication, Graz University of Technology / Inffeldgasse 16c, A-8010 Graz · Graz Center for Machine Learning // A-8010 Graz
ParaTool: Shifting Tool Representations from Context to Parameters
May 28, 2026Zekai Yu, Qi Meng, Qizhi Chu +3LLM Inference Efficiency LLM Tool Use
1Beijing University of Posts and Telecommunications, Beijing, China
DeltaMCP: Incremental Regeneration via Spec-Aware Transformation for MCP servers
May 27, 2026Aditya Pujara, Xiaogang Zhu, Hsiang-Ting ChenCode Generation LLM Tool Use
Microsoft · University of Adelaide
Knowing When to Ask: Segment-Level Credit Assignment for LLM Tool Use
May 27, 2026Abhijit Kumar, Zoey Wu, Mohit SuleyTool-Augmented Language Model Agents Learning to Defer
Microsoft AI Redmond, WA
Tool-Call Dependency Structure is Linearly Decodable in LLM Agent Residual Streams
May 25, 2026Tianda Sun, Dimitar KazakovLLM Tool Use Language Model Probing
University of York Department of Computer Science Heslington, York YO10 5DD
Tool-Schema Compression Enables Agentic RAG Under Constrained Context Budgets
May 24, 2026Furkan SakizliTool-Augmented Language Model Agents Agentic RAG
Independent Researcher
Memory-Induced Tool-Drift in LLM Agents
May 24, 2026Mahavir Dabas, Jihyun Jeong, Ming Jin +1AI Agent Benchmarks LLM Tool Use
Virginia Tech
HarnessAPI: A Skill-First Framework for Unified Streaming APIs and MCP Tools
May 21, 2026Edwin JoseLLM Tool Use
Department of Computer Science Western Michigan University Kalamazoo, MI 49008, USA
Beyond Text-to-SQL: An Agentic LLM System for Governed Enterprise Analytics APIs
May 20, 2026Gundeep Singh, Parsa Kavehzadeh, Jing Xia +5LLM Agent Orchestration AI Agent Security
Dialpad Inc.

Jun 14, 2026, cs.LGJ/K move · Enter open · S save

Is Code Better Than Language for Algorithmic Reasoning

Terry Tong, Yu Feng, Surbhi Goel, Dan Roth

University of Pennsylvania · 2Oracle AI

LLM Evaluation LLM Tool Use Algorithmic Reasoning LLM Reasoning

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For tool-augmented language models, comparing natural-language reasoning with code-execution pipelines is difficult because the comparison changes both the intermediate representation and the execution mechanism. We separate these factors with an intermediate intervention: the model expresses its reasoning as executable code, and the language model simulates that code in context to produce an answer. On a 40-task verifiable algorithmic benchmark, deterministic code execution outperforms natural-language reasoning by +31.6pp. We observe that the intermediate intervention is not meaningfully different from natural-language reasoning (+0.15pp). These results suggest that, in our evaluated setting, changing the intermediate representation alone does not explain the tool-use advantage, providing evidence for the performance gains requiring reliable external execution. We formalize this intuition with a simple statistical decision-theoretic model that characterizes when execution dominates end-to-end risk in our disentangled trace-generation/execution regime. We validate our theory using a reconstruction intervention that leverages a proxy language model to infer natural-language reasoning traces from code representations, recovering performance comparable to the original natural-language reasoning pipeline. All experiments are at https://github.com/TerryTong-Git/ToolProj.

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Latest papers 185